Peiyuan Lu

1.7k total citations
29 papers, 1.4k citations indexed

About

Peiyuan Lu is a scholar working on Molecular Biology, Immunology and Mechanical Engineering. According to data from OpenAlex, Peiyuan Lu has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Mechanical Engineering. Recurrent topics in Peiyuan Lu's work include Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (5 papers) and Neurological Disease Mechanisms and Treatments (4 papers). Peiyuan Lu is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (5 papers) and Neurological Disease Mechanisms and Treatments (4 papers). Peiyuan Lu collaborates with scholars based in China, United States and United Kingdom. Peiyuan Lu's co-authors include Jeremy M. Boss, Rafi Ahmed, James W. Austin, Ben Youngblood, Parimal Majumder, James L. Riley, Sang‐Jun Ha, Kenneth J. Oestreich, Erin E. West and Jaikumar Duraiswamy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Peiyuan Lu

26 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peiyuan Lu China 14 634 568 500 139 79 29 1.4k
Rachel M.A. Linger United States 8 796 1.3× 359 0.6× 254 0.5× 165 1.2× 71 0.9× 12 1.2k
Tanja Stoyan Germany 13 577 0.9× 443 0.8× 615 1.2× 101 0.7× 111 1.4× 21 1.4k
Tomonori Kaifu Japan 15 930 1.5× 451 0.8× 393 0.8× 52 0.4× 63 0.8× 27 1.4k
Akira Sugimoto Japan 18 274 0.4× 424 0.7× 281 0.6× 283 2.0× 51 0.6× 61 1.3k
Silvio Weber Germany 16 298 0.5× 775 1.4× 250 0.5× 125 0.9× 63 0.8× 26 1.5k
Anne‐Lise Quiquerez Switzerland 12 525 0.8× 656 1.2× 337 0.7× 70 0.5× 80 1.0× 14 1.1k
Taisuke Kondo Japan 18 1.0k 1.6× 640 1.1× 622 1.2× 98 0.7× 102 1.3× 34 1.9k
Michael Calderon United States 15 225 0.4× 515 0.9× 220 0.4× 74 0.5× 117 1.5× 29 923
Raffaella Iannone Italy 19 496 0.8× 596 1.0× 389 0.8× 106 0.8× 30 0.4× 28 1.3k
Marianela Candolfi Argentina 22 638 1.0× 669 1.2× 446 0.9× 57 0.4× 81 1.0× 61 1.8k

Countries citing papers authored by Peiyuan Lu

Since Specialization
Citations

This map shows the geographic impact of Peiyuan Lu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peiyuan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiyuan Lu more than expected).

Fields of papers citing papers by Peiyuan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peiyuan Lu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peiyuan Lu. The network helps show where Peiyuan Lu may publish in the future.

Co-authorship network of co-authors of Peiyuan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Peiyuan Lu. A scholar is included among the top collaborators of Peiyuan Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peiyuan Lu. Peiyuan Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zuo, Ning, et al.. (2025). A method for GSG probe planarization using probe mark visual recognition. Measurement. 246. 116738–116738.
2.
Sacristán, Catarina, Ben Youngblood, Peiyuan Lu, et al.. (2024). Chronic viral infection alters PD-1 locus subnuclear localization in cytotoxic CD8+ T cells. Cell Reports. 43(8). 114547–114547. 1 indexed citations
3.
Zuo, Ning, et al.. (2024). A high-precision GSG probe planarization method based on direct current signal. Microelectronics Journal. 155. 106478–106478.
4.
Zhang, Song, Yanbing Zong, Yun Huang, et al.. (2024). Investigation of Basicity on Compressive Strength and Oxidation Induration Mechanism of Vanadium–Titanium Magnetite Pellets. steel research international. 95(10). 4 indexed citations
5.
Powell, Michael D., et al.. (2022). IL-6/STAT3 Signaling Axis Enhances and Prolongs Pdcd1 Expression in Murine CD8 T Cells. ImmunoHorizons. 6(12). 872–882. 4 indexed citations
6.
Qin, Na, et al.. (2022). Coactivator-associated arginine methyltransferase 1: A versatile player in cell differentiation and development. Genes & Diseases. 10(6). 2383–2392. 4 indexed citations
7.
Lu, Peiyuan, et al.. (2022). Ultrasonic-Assisted Micro-Silver Paste Sintering for Flip-Chip Bonding. IEEE Transactions on Components Packaging and Manufacturing Technology. 12(8). 1395–1400. 2 indexed citations
8.
Lü, Yan, et al.. (2021). Transcriptional and epigenetic regulation of PD-1 expression. Cellular and Molecular Life Sciences. 78(7). 3239–3246. 27 indexed citations
9.
Bally, Alexander P. R., Peiyuan Lu, Parimal Majumder, et al.. (2019). PD-1 Expression during Acute Infection Is Repressed through an LSD1–Blimp-1 Axis. The Journal of Immunology. 204(2). 449–458. 31 indexed citations
10.
11.
Bally, Alexander P. R., James W. Austin, Peiyuan Lu, & Jeremy M. Boss. (2016). The histone demethylase LSD1 inhibits PD-1 expression in acute viral infections. The Journal of Immunology. 196(1_Supplement). 129.7–129.7. 1 indexed citations
12.
Fan, Mingyue, Tianjun Wang, Ling Li, et al.. (2014). Protective effects of lithium chloride treatment on repeated cerebral ischemia–reperfusion injury in mice. Neurological Sciences. 36(2). 315–321. 21 indexed citations
13.
Austin, James W., Peiyuan Lu, Parimal Majumder, Rafi Ahmed, & Jeremy M. Boss. (2014). STAT3, STAT4, NFATc1, and CTCF Regulate PD-1 through Multiple Novel Regulatory Regions in Murine T Cells. The Journal of Immunology. 192(10). 4876–4886. 127 indexed citations
14.
Wang, Jianhua, et al.. (2012). Magnetoencephalography assessment of evoked magnetic fields and cognitive function in subcortical ischemic vascular dementia patients. Neuroscience Letters. 532. 17–22. 4 indexed citations
15.
Youngblood, Ben, Kenneth J. Oestreich, Sang‐Jun Ha, et al.. (2011). Chronic Virus Infection Enforces Demethylation of the Locus that Encodes PD-1 in Antigen-Specific CD8+ T Cells. Immunity. 35(3). 400–412. 332 indexed citations
16.
Kaneko, Satoshi, Xiaochu Chen, Peiyuan Lu, et al.. (2011). Smad inhibition by the Ste20 kinase Misshapen. Proceedings of the National Academy of Sciences. 108(27). 11127–11132. 46 indexed citations
17.
Lu, Peiyuan, et al.. (2009). Meis Cofactors Control HDAC and CBP Accessibility at Hox-Regulated Promoters during Zebrafish Embryogenesis. Developmental Cell. 17(4). 561–567. 77 indexed citations
18.
Xu, Lan, Xiaohao Yao, Xiaochu Chen, et al.. (2007). Msk is required for nuclear import of TGF-β/BMP-activated Smads. The Journal of Cell Biology. 178(6). 981–994. 68 indexed citations
19.
Ferrante, Robert J., Hoon Ryu, James K. Kubilus, et al.. (2004). Chemotherapy for the Brain: The Antitumor Antibiotic Mithramycin Prolongs Survival in a Mouse Model of Huntington's Disease. Journal of Neuroscience. 24(46). 10335–10342. 172 indexed citations
20.
Lange, Philipp S., Brett Langley, Peiyuan Lu, & Rajiv R. Ratan. (2004). Novel Roles for Arginase in Cell Survival, Regeneration, and Translation in the Central Nervous System. Journal of Nutrition. 134(10). 2812S–2817S. 57 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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